AI that never leaves your building
We build and operate local large language models and RAG systems — on your infrastructure or EU-hosted. For organizations whose data must not leave for a foreign cloud: healthcare, public sector, regulated industry.
Why on-premise AI?
Most AI solutions are thin wrappers around US cloud APIs — often a non-starter for patient data, government data or trade secrets. We take the other route: open models, operated on your hardware or on our own HPC infrastructure, deeply integrated into your existing systems. Your data never leaves your control — GDPR-compliant, sovereign, auditable.
What's included
Local LLMs
Building and operating local large language models — on your hardware or our HPC infrastructure.
RAG systems
Your internal knowledge, searchable and citable — without a single document leaving the premises.
AI applications end-to-end
From model to interface: complete AI applications, integrated into your existing systems.
Voice AI on-premise
Our voice-AI solutions also run fully on-premise with local LLMs — like nabu-med.ai.
In production, not in a lab
The team's background is high-performance computing — cosmological simulations on supercomputers. Today we apply the same competence to running AI systems where your data lives.
Frequently asked questions
What does on-premise mean with you, concretely?
The entire stack — model, database, application — runs on your hardware inside your network. No data leaves your infrastructure. If you prefer not to run your own hardware, we alternatively host GDPR-compliant in Europe (e.g. the IKB data center in Innsbruck).
Who is on-premise AI worth it for?
Anyone whose data cannot go to third-party clouds: hospitals and practices, public administration, research, and companies with sensitive business data. When data protection or sovereignty is a hard requirement, on-premise is often the only viable route to AI in production.
Do you only build, or also operate the systems?
Both. We build and operate local LLMs and RAG systems — on our own HPC infrastructure or on your premises, including ongoing operation.
AI without data leaving the building — for your organization?
A 30-minute discovery call — an honest take on what on-premise would take and cost in your environment.